Experience

  1. Staff Research Scientist

    Google
  2. Senior Research Scientist

    Google
  3. Research Scientist

    Google
  4. Research Intern

    Google

    Mentors: Aleksandra Korolova and Geetanjali Sampemane

    Worked in the Infrastructure Privacy Research group. Gathered and analyzed large-scale activity data using MapReduce, NLP, and machine learning. Contributed to a data-driven analysis of user privacy preferences and concerns based on their activity and made several surprising observations. Co-authored a research paper based on the results.

  5. Research Intern

    Alcatel Lucent Bell Labs

    Mentors: Krishna Puttaswamy, Hao Fang and TV Lakshman

    Spent the summer at Infrastructure Research group at Alcatel Lucent Bell Labs (now Nokia Bell Labs). Investigated and identified security issues arising in the new paradigm of Software Defined Networks (SDNs) such as OpenFlow. Developed and implemented a methodology to mitigate the attacks, and tested its performance on real network traces.

  6. Intern

    Microsoft Research India, Bangalore

    Mentors: Joyojeet Pal (UC Berkeley), Udai Pawar Singh (Microsoft Research), Sukumar Anikar (Azim premji Foundation)

    Contributor to a joint project of UC Berkeley, Azim Premji Foundation, and Microsoft Research India. Performed experiments, wrote code, and tested in order to extend the MultiMouse Technology developed by Microsoft to handle Adobe Flash executables. Co-authored a research paper based on the conducted work.

  7. Intern

    National Innovation Foundation, India
    Developed an online video management website for National Innovation Foundation.
  8. Research and Teaching Assistant

    NYU-Polytechnic (now NYU Tandon School of Engineering)
    Until May 2011, I worked with Prof.Nitesh Saxena on projects related to evaluation of Web Search and Location privacy preserving mechanisms. Published five papers as the primary author based on the work done. Worked with my PhD advisors, Prof. Keith Ross and Prof. Justin Cappos, and executed projects related to online anonymity, content sensitivity and location privacy. Proposed and developed a Cloud security as a service system for personal end user devices (‘Virtual Secure Network’).

Education

  1. PhD in Computer Science

    New York University, School of Engineering

    Thesis on Evaluating privacy, anonymity, and sensitivity by analyzing crowds.

    Supervised by Prof. Keith Ross and Prof. Justin Cappos.

    Read Thesis
  2. BTech in Information & Communication Technology

    Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), now Dhirubhai Ambani University (DAU)
    President’s GOLD MEDAL for academic excellence
Skills & Hobbies
Technical Skills
Python

Obtained Google Python Readability

C++

Obtained Google C++ Readability

Awards
Finalist in NYU CSAW Applied Research Competition
NYU CSAW Applied Research Competition ∙ October 2022
Our paper titled Hark: A Deep Learning System for Navigating Privacy Feedback at Scale was selected as a finalist in the applied research competition.
IAPP SOUPS Privacy Award
USENIX SOUPS Conference ∙ July 2017
Finalist in the Kaspersky’s ‘CyberSecurity for the Next Generation’
Kaspersky's 'CyberSecurity for the Next Generation' Conference ∙ October 2013
Our work titled Virtual Secure Network: Providing a fast, remote security service using hashlists of approved web objects was selected as a finalist in the Kaspersky’s ‘CyberSecurity for the Next Generation’ conference in the North American Round.
Deborah Rosenthal, MD Award
NYU-Polytechnic (now NYU Tandon School of Engineering) ∙ August 2011
Awarded for outstanding performance in PhD qualifying exam.
President’s Gold Medal for Academic Excellence
DA-IICT ∙ December 2009
Awarded for outstanding academic performance while pursuing BTech, Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT, now Dhirubhai Ambani University DAU) class of 2009.